Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Table of Contents

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   Book Overview
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   Chapter 1 Risk, Optimization and Meanfield Type Control
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   Chapter 2 A Review of Surrogate Modeling Techniques for Aerodynamic Analysis and Optimization: Current Limitations and Future Challenges in Industry
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   Chapter 3 Constrained Single-Point Aerodynamic Shape Optimization of the DPW-W1 Wing Through Evolutionary Programming and Support Vector Machines
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   Chapter 4 Enabling of Large Scale Aerodynamic Shape Optimization Through POD-Based Reduced-Order Modeling and Free Form Deformation
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   Chapter 5 Application of Surrogate-Based Optimization Techniques to Aerodynamic Design Cases
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   Chapter 6 Efficient Global Optimization Method for Multipoint Airfoil Design
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   Chapter 7 Checkpointing with Time Gaps for Unsteady Adjoint CFD
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   Chapter 8 Shape Optimization of Wind Turbine Blades Using the Continuous Adjoint Method and Volumetric NURBS on a GPU Cluster
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    Chapter 9 Aerodynamic Shape Optimization Using the Adjoint-Based Truncated Newton Method
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    Chapter 10 Application of the Adjoint Method for the Reconstruction of the Boundary Condition in Unsteady Shallow Water Flow Simulation
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    Chapter 11 Aerodynamic Optimization of Car Shapes Using the Continuous Adjoint Method and an RBF Morpher
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    Chapter 12 Upfront CAD—Parametric Modeling Techniques for Shape Optimization
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    Chapter 13 Simulation-Based Design Optimization by Sequential Multi-criterion Adaptive Sampling and Dynamic Radial Basis Functions
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    Chapter 14 Application of Holistic Ship Optimization in Bulkcarrier Design and Operation
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    Chapter 15 Designing Networks in Cooperation with ACO
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    Chapter 16 Augmented Lagrangian Approach for Constrained Potential Nash Games
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    Chapter 17 A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms: Enhancing Performances in Reconstruction Problems in Structural Engineering
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    Chapter 18 Interactive Inverse Modeling Based Multiobjective Evolutionary Algorithm
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    Chapter 19 Multi-disciplinary Design Optimization of Air-Breathing Hypersonic Vehicle Using Pareto Games and Evolutionary Algorithms
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    Chapter 20 Innovative Methodologies for Robust Design Optimization with Large Number of Uncertainties Using ModeFRONTIER
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    Chapter 21 A Novel Method for Inverse Uncertainty Propagation
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    Chapter 22 Uncertainty Sources in the Baseline Configuration for Robust Design of a Supersonic Natural Laminar Flow Wing-Body
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    Chapter 23 Robust Airfoil Design in the Context of Multi-objective Optimization
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    Chapter 24 An Alternative Formulation for Design Under Uncertainty
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    Chapter 25 Polynomial Representation of Model Uncertainty in Dynamical Systems
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    Chapter 26 Improved Archiving and Search Strategies for Multi Agent Collaborative Search
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    Chapter 27 Comparison of Multi-objective Approaches to the Real-World Production Scheduling
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    Chapter 28 Elucidation of Influence of Fuels on Hybrid Rocket Using Visualization of Design-Space Structure
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    Chapter 29 Creating Optimised Employee Travel Plans
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    Chapter 30 A New Rich Vehicle Routing Problem Model and Benchmark Resource
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    Chapter 31 Genetic Algorithm Applied to Design Knowledge Discovery of Launch Vehicle Using Clustered Hybrid Rocket
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    Chapter 32 Topology Optimization of Flow Channels with Heat Transfer Using a Genetic Algorithm Assisted by the Kriging Model
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    Chapter 33 Topology Optimization Using GPGPU